Orchestrate, Analyze, and Evaluate ML Pipelines
By Coursera
on Coursera
· Technology
About This Course
This course teaches you how to design, evaluate, and operate reliable machine learning data pipelines in production. You’ll learn how daily ETL and ELT pipelines feed feature stores, how orchestration supports reproducible feature engineering, how to handle upstream schema changes without breaking downstream systems, and how to evaluate pipeline health using freshness, lag, and SLA metrics. Designed for data engineers, analytics engineers, and ML practitioners, the course builds job-ready judgment for delivering timely, trustworthy, and resilient data to ML systems.
Instructor
Orchestrate
Frequently Asked Questions
How much does Orchestrate, Analyze, and Evaluate ML Pipelines cost?
Visit the Orchestrate, Analyze, and Evaluate ML Pipelines course page for current pricing and available discounts.
Who teaches Orchestrate, Analyze, and Evaluate ML Pipelines?
Orchestrate, Analyze, and Evaluate ML Pipelines is taught by ansrsource instructors, Coursera.
What skill level is Orchestrate, Analyze, and Evaluate ML Pipelines for?
This course is designed for all levels learners.